Job
                                Description
                            
                            
                                
 
Design, develop, and maintain scalable backend services and core components using  C/C++ and Java .
Develop and optimize SQL queries, stored procedures, and schema designs in  relational databases  like Oracle, PostgreSQL, or MySQL.
Containerize applications using  Docker  and orchestrate deployments using  Kubernetes  in cloud or on-premise environments.
Architect and implement  high-availability ,  resilient , and  secure  systems.
Lead code reviews, mentor junior developers, and drive best engineering practices.
Collaborate with QA, DevOps, and Product teams for continuous delivery and integration.
Diagnose and resolve performance, scalability, and reliability issues in production.
Write technical documentation, architecture diagrams, and deployment instructions. 
  Required education  Bachelor's Degree   Preferred education  Master's Degree   Required technical and professional expertise  
 Programming Languages: 
Strong hands-on experience with  C/C++  and  Java (SE/EE)  in large-scale software systems.
 Database Systems: 
Proficient in  relational database design and development  using  SQL, PL/SQL , stored procedures, views, indexing, and performance tuning.
 Containerization and Orchestration: 
Deep understanding of  Docker  for building and managing containers.
Experience with  Kubernetes  for orchestrating services, managing deployments, scaling, and monitoring.
 DevOps and Cloud (preferred): 
Experience with  CI/CD pipelines , Git, Jenkins, GitLab CI.
Familiarity with  cloud platforms  such as AWS, Azure, or GCP is a plus.
 Tools & Environments: 
Proficient in  Linux/Unix  environments.
ToolsGDB, Valgrind, Eclipse/IntelliJ IDEA, Git, Jira, etc. 
  Preferred technical and professional experience  
Exposure to  microservices architecture ,  RESTful APIs ,  message queues (Kafka/RabbitMQ) .
Experience in performance profiling and tuning of multithreaded applications.
Knowledge of system-level programming, memory management, and low-latency systems.
Experience with monitoring/logging tools like Prometheus, Grafana, ELK Stack.